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JACIII Vol.27 No.6 pp. 1142-1150
doi: 10.20965/jaciii.2023.p1142
(2023)

Research Paper:

Task Assignment of UAV Swarms Based on Auction Algorithm in Poor Communication Environments

Zihao Chen ORCID Icon, Juan Li, Chang Liu, and Jie Li

Beijing Institute of Technology
No.5 South Street, Zhongguancun, Haidian District, Beijing 100081, China

Corresponding author

Received:
April 4, 2023
Accepted:
July 19, 2023
Published:
November 20, 2023
Keywords:
task assignment, poor communication environments, information fusion, information integrity, information authenticity
Abstract

Poor communication environments always lead to unstable communication in unmanned aerial vehicle swarms. To solve the problem of task assignment in poor communication environments, this study proposed an information fusion strategy (IFS) based on information integrity and authenticity. The proposed IFS was embedded into the classical sequential and the Prim assignment and its generalization (G-Prim) decentralized task assignment algorithms, and these two improved variants with the proposed IFS were denoted as sequential auction with IFS (Seq-IFS) and G-Prim-IFS, respectively. The Bernoulli and Gilbert–Elliott models, which can model communication delay and packet loss, were adopted to describe unstable communication channels. A series of test instances with different swarm sizes and levels of communication channel reliability was used to test the performances of Seq-IFS and G-Prim-IFS in their original forms. Numerical experimental results demonstrated that the proposed Seq-IFS and G-Prim-IFS significantly outperformed their original versions in most test instances, particularly in cases with low communication environments.

Cite this article as:
Z. Chen, J. Li, C. Liu, and J. Li, “Task Assignment of UAV Swarms Based on Auction Algorithm in Poor Communication Environments,” J. Adv. Comput. Intell. Intell. Inform., Vol.27 No.6, pp. 1142-1150, 2023.
Data files:
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